Navigation: Jump to content areas:


Pro Quality. Fan Perspective.
Login-facebook
Around SBN: The Animated GIFs Of January

Playoff Probabilities Simulation - PECOTA Edition

With some of the projection systems also coming out with projections of the standings now's probably a good time to attach some playoff probabilities to the projections.  I'll start with PECOTA.

My methodology is fairly simple.  I created a Monte Carlo simulation that modeled team wins as a normal random variable with a mean of the projected wins and a variable standard deviation (not variable within a set of simulation runs but across unique sets of runs).  

I ran the simulation using a 9 win SD, an 8 win SD, and an 8 win SD with the caveat that total team wins had to fall within projected + or - 20.

The results using a 9 win standard deviation are after the jump and a spreadsheet containing all of the results is linked at the end. 

Star-divide

AL East
W L Div Win% WC% Playoff %
New York Yankees 94 68 41% 25% 66%
Boston Red Sox 92 70 31% 25% 56%
Tampa Bay Rays 90 72 23% 23% 46%
Baltimore Orioles 80 82 4% 7% 11%
Toronto Blue Jays 72 90 1% 1% 2%

 

AL Central

W L Div Win% WC% Playoff %
Minnesota Twins 83 79 37% 2% 39%
Chicago White Sox 80 82 24% 2% 26%
Detroit Tigers 78 84 17% 2% 19%
Cleveland Indians 76 86 12% 1% 13%
Kansas City Royals 75 87 10% 1% 11%

 

AL West
W L Div Win% WC% Playoff %
Texas Rangers 87 75 47% 3% 50%
Los Angeles Angels 80 82 20% 3% 23%
Oakland Athletics 80 82 20% 3% 23%
Seattle Mariners 77 85 13% 2% 15%

 

A few quick bullet points

  • The East is pretty good eh?  81% of the time the wild card came from there.
  • Raise your hand if you would have pegged the Royals for having only a 4% less chance to make the playoffs than the Mariners.  Yeah thought so.  Granted is that just PEOCTA underrating the M's? 
  • The Central is pretty jumbled up, and those teams don't project to have the wild card to fall back on like the East

 

NL East

W L Div Win% WC% Playoff %
Philadelphia Phillies 88 74 45% 9% 54%
Atlanta Braves 83 79 22% 9% 31%
Florida Marlins 81 81 16% 7% 23%
New York Mets 79 83 11% 5% 16%
Washington Nationals 76 86 6% 3% 9%

 

NL Central
W L Div Win% WC% Playoff %
St. Louis Cardinals 84 78 33% 6% 39%
Cincinnati Reds 82 80 25% 5% 30%
Chicago Cubs 79 83 15% 4% 19%
Milwaukee Brewers 79 83 15% 4% 19%
Houston Astros 76 86 9% 3% 12%
Pittsburgh Pirates 70 92 3% 1% 4%

 

NL West
W L Div Win% WC% Playoff %
Arizona Diamondbacks 87 75 34% 12% 46%
Colorado Rockies 86 76 29% 12% 41%
Los Angeles Dodgers 83 79 19% 10% 29%
San Francisco Giants 82 80 16% 9% 25%
San Diego Padres 71 91 2% 1% 3%

 

More bullet points

 

  • The West should be fun division to watch
  • The Phillies were the only team to break a 50% chance, and that's with a pessimistic Braves projection (clearly just my opinion)

 

Next up, I'll do the same with CHONE.

Complete results can be found here

Comment 23 comments  |  0 recs  | 

Do you like this story?

Comments

Display:

As a Twins fan,

what gets me isn’t the 83-win division crown. It’s that, somehow, no team in the AL Central wins fewer than 75 games.

I’m also really surprised at the Mariners totals.

by Jesse on Feb 11, 2010 9:01 AM EST reply actions  

Pretty simple

If I had my data in front of me. Which I won’t until I get home. I’d guess it’s pretty often too.

by stevesommer05 on Feb 11, 2010 9:33 AM EST up reply actions  

I'd also be interested to see the average number of wins for each place in the standings by division, including wild card winner.

Again, probably going to be more spread out. Yankees predicted to be the best team in AL East and average 94 wins, but I would bet that AL East division winner averages more like 96-98 wins. And it’ll take more than 92 wins, on average, to win the AL Wild Card.

Would also be cool to do with leader boards, as an example for the “nobody’s going to hit 40 HRs!” crowd. Show both the projections for the top 10 HR hitters and then the average leader board 1-10, ignoring who hit that many HRs.

by Sky Kalkman on Feb 11, 2010 12:40 PM EST up reply actions  

That's the beauty of regression to the mean.

I can tell you that, given these projections, we can certainly expect an AL Central team to finish at 70 wins or below (not to say it’s certain, but it’s a reasonable expectation). What we don’t know right now is which. We can say that the Royals are the most likely, the Tigers somewhat less likely and the Indians somewhat less likely.

by cwyers on Feb 11, 2010 12:57 PM EST up reply actions  

And we probably can a team around 90 wins also.

The chances of the division being won by 83 games are really slim.

"Pinch-bunters don't have a ton of value, even with the Twins"

by Steven Ellingson on Feb 11, 2010 10:33 PM EST up reply actions  

I'm surprised that PECOTA likes Texas so much

presumably that’s because of the run prevention, with the additions of Colby Lewis and Rich Harden, as well as potential full seasons from Derek Holland and Neftali Feliz.

I also would’ve expected St. Louis and Atlanta to be better, too.

I like baseball.
I write for Beyond the Box Score and The Hardball Times Fantasy

by Satchel Price on Feb 11, 2010 9:34 AM EST reply actions  

Well, it likes them to repeat their win total from an unflukey season last year.

That’s with Kinsler having a down year offensively last year (though an up year defensively); Hamilton and Davis failing in large ways at the plate in ’09; Holland, Hunter, Borbon, Feliz having second seasons after solid-to-great debuts; replacing Kevin Millwood with Colby Lewis, Rich Harden with Vicente Padilla and Hank Blalock with Vladimir Guerrero.

I don’t think it’s particularly positive (or negative, btw).

by philkid3 on Feb 11, 2010 2:50 PM EST up reply actions  

Hot damn

I can’t believe that PECOTA hates the NL Central that much. 84 wins?

In football, the object is for the quarterback, otherwise known as the field general, to be on target with his aerial assault, riddling the defense by hitting his recievers with deadly accuracy in spite of the blitz, even if he has to use the shotgun. With short bullet passes and long bombs, he marches his troops into enemy territory, balancing this aerial assault with a sustained ground attack that punches holes in the forward wall of the enemy's defensive line.

In baseball the object is to go home! And to be safe! "I hope I'll be safe at home!"
-George Carlin (RIP)

by Taskmaster on Feb 11, 2010 11:00 AM EST reply actions  

The question I have with these Win predictions is

Is the imput static ?

So you get a number of outcomes given static imputs and you can predict 1std above and below average expected wins.

Or does one also model uncertainty aroudn the imputs.
I.e. one player’s woba+ may be 350, but reasonably it’s somewhere between 370 and 330. Same with games played, etc.

by OPS2000 on Feb 11, 2010 12:31 PM EST reply actions  

GO RANGERS!!!

looks at PECOTA’s performance last season

. . . oh. . .

by philkid3 on Feb 11, 2010 2:44 PM EST reply actions  

I can only hope that the Rangers beat their PECOTA projections again.

That would make my year.

I’m hoping 95 wins. Not that that’s a realistic wish by any definition of the word “realistic”.

by Trickman on Feb 11, 2010 3:46 PM EST up reply actions  

Question

Each time you run a season do the win and loss totals match? Are you just taking the Pecota win prediction totals and using a random number generator along with their distribution of total wins probability curve to come up with a seasonal win total – then repeating this step X number of times? Just curious as to the exact methodology.

Given all the problems Pecota had putting their team win/loss projections out – I will await the other systems like CHONE.
vr, Xei

by Xeifrank on Feb 11, 2010 8:54 PM EST reply actions  

due to massive laziness

it’s the former. Extremely simplistic, but probably gets at the final answer pretty well. I’ll probably post process to answer some of Sky’s questions above

by stevesommer05 on Feb 11, 2010 9:00 PM EST up reply actions  

oops need to read more carefully

I guess it was the latter :) The win totals don’t match directly out of the sim… would have to post process like I mentioned

by stevesommer05 on Feb 11, 2010 9:03 PM EST up reply actions  

Why does the East projection

for TB, New York, and Boston seem just a tad depressed, to me?

by FloridaownsFSU on Feb 11, 2010 10:03 PM EST reply actions  

Not Quite How I'd Have Done It...

I think it’s fine to use a normal distribution with some standard deviation to handle the true talent. However, I think once you do that you still want to handle the uncertainty in actual performance. If it’s not clear what I’m saying, let’s look at an example team: my Pirates. PECOTA has them at 70 wins, so we say that is their mean true talent. Their actual true talent might be sampled from a normal distribution with a mean of 70 and a standard deviation of say 9 wins. So in some runs their true talent may be say 79 wins, but that doesn’t mean they will win 79 games. In seasons where they have a true talent of 79 wins they might not actually win that number of games…they could win more or less so we would want to use some sort of sampling technique for this as well. Oddly enough in some runs they will have 79-win talent and only win say 70 games while in other runs they will have 70-win talent and might win 79 or more games.

If you want simplicity then you can handle this with the binomial distribution of 162 trials for each team given their talent in that run. However, that has issues including that it doesn’t guarantee the wins add up. You could simulate each game of the season if you want where you use a log5 type matchup based on their true talents in that run. I believe this is similar to what Rally does in his CHONE standings projections. I’m not sure how much more accurate this technique would be, but it seems to me to be purer.

by mickeyg13 on Feb 12, 2010 12:24 AM EST reply actions  

Good points

This was a crude quick way to do it, but I think that it gives a decent answer despite its shortcomings. Regards to your first point about true talent level, I think it would likely come out in the wash as your final sentence alludes to (granted that depends on your choice of distributions for each). My gut thought is that doing something like that would be similar to running what I did with a wider variance.

As regards to your second paragraph, I’d like to incorporate log5 and use Rally’s method. That’s the next step for me I think. Thanks for the input.

by stevesommer05 on Feb 12, 2010 8:59 AM EST up reply actions  

As an Os fan

It sucks seeing that all teams projected for 90 wins are in the AL East.

by Jordan Tuwiner on Feb 15, 2010 3:24 PM EST reply actions  

Comments For This Post Are Closed


User Tools

We use numbers and stuff.
Community Guidelines
Why be a member?

FanPosts

Community blog posts and discussion.

Recent FanPosts

Img_3830_small
BtBS Fantasy League
Small
Context Neutral Run and RBI projections
Small
Free Agent Compensation
Img_0001_small
Value of Various Plate Approaches
Strike_three2_small
Effect of Foul Area on Strikeouts: AL 1954-68: Erratum
Small
Baseball on a stick
Small
Player Evaluating Statistic
Baseball_small
Rays Outfield: Cheap but Extremely Productive
Small
A new xBABIP
Small
Jack Morris "pitching to the score"

+ New FanPost All FanPosts >

Follow us on Facebook!

Follow us on Twitter!

SaberGraphics

MLB Daily Dish

Get the latest MLB Trade Rumors, Transactions, and News at MLB Daily Dish!


Managing Editor:

Jbopp-kc_small Justin Bopp

Columnists:

Adam_small adarowski

Dme_small Satchel Price

Closeup4_small J-Doug

Carlosicon_small Julian Levine

Billy_and_daddy_4th_of_july_small Bill Petti

Featuring:

Dayton_small Jeff Zimmerman

12475953_small Jacob Peterson

Picture-6_small Chris St. John

Btbpro_small Dave Gershman

229331_10150183361996591_674441590_6760167_6637860_n3_small Lewie Pollis

Img_3830_small David Fung